Numerical simulation and modelling of non-equilibrium flows in hydro-power applications

水力发电应用中非平衡流的数值模拟和建模

• 批准号: 514642-2017
• 负责人: Piomelli, Ugo
• 金额: $ 3.54万
• 依托单位: Queen's University
• 依托单位国家: 加拿大
• 项目类别: Collaborative Research and Development Grants
• 财政年份: 2019
• 资助国家: 加拿大
• 起止时间: 2019-01-01 至 2020-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=689762
• 关键词: Numerical; simulation; modelling; non; equilibrium

This proposal addresses a problem of critical importance for the hydroelectric power industry, the developmentof accurate models for the prediction of the flow over rough surfaces, in turbulence far from equilibrium. Twocases will be considered: a separating flow in a curved duct, and the flow in a rough channel undergoing systemrotation. We will use direct and large-eddy simulations (DNS and LES) of turbulence to validate the modelsfor the Reynolds-Averaged Navier-Stokes equations that are commonly used in industry. Although the DNSand LES will be performed at Reynolds numbers lower than those in actual applications, the LES should beable to achieve the fully rough regime that allows to extend the simulation results to practical applications. Theproposed research will benefit Canada in several ways: first, it will train one PhD student and one PDF in thecomputational sciences; secondly, it will generate fundamental knowledge on the physics of rough-wallboundary layers in the presence of swirl, curvature, system rotation and separation. Finally, it will developprediction models that will benefit the power generation industry (and may be extended to other areas ofapplication), and can potentially result in significant efficiency increases and financial savings.

该建议解决了水力发电行业的一个至关重要的问题，即在远离平衡的湍流中，开发用于预测粗糙表面上的流动的精确模型。将考虑两种情况：弯曲管道中的分离流动和经历系统旋转的粗糙通道中的流动。我们将使用湍流的直接和大涡模拟（DNS和LES）来验证工业中常用的雷诺平均Navier-Stokes方程的模型。虽然DNSand LES将在低于实际应用的雷诺数下进行，但LES应该能够实现完全粗糙的区域，从而将模拟结果扩展到实际应用。拟议的研究将在几个方面使加拿大受益：首先，它将在计算科学方面培养一名博士生和一名PDF;其次，它将产生关于存在旋流、曲率、系统旋转和分离的粗糙壁边界层物理学的基本知识。最后，它将开发预测模型，这将有利于发电行业（并可能扩展到其他应用领域），并可能导致显着的效率提高和财政节省。